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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "glmmPen" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'glmmPen: High Dimensional Penalized Generalized Linear Mixed Models (pGLMM)'
version: 1.5.4.8
doi: 10.32614/CRAN.package.glmmPen
abstract: Fits high dimensional penalized generalized linear mixed models using the
  Monte Carlo Expectation Conditional Minimization (MCECM) algorithm. The purpose
  of the package is to perform variable selection on both the fixed and random effects
  simultaneously for generalized linear mixed models. The package supports fitting
  of Binomial, Gaussian, and Poisson data with canonical links, and supports penalization
  using the MCP, SCAD, or LASSO penalties. The MCECM algorithm is described in Rashid
  et al. (2020) <https://doi.org/10.1080/01621459.2019.1671197>. The techniques used
  in the minimization portion of the procedure (the M-step) are derived from the procedures
  of the 'ncvreg' package (Breheny and Huang (2011) <https://doi.org/10.1214/10-AOAS388>)
  and 'grpreg' package (Breheny and Huang (2015) <https://doi.org/10.1007/s11222-013-9424-2>),
  with appropriate modifications to account for the estimation and penalization of
  the random effects. The 'ncvreg' and 'grpreg' packages also describe the MCP, SCAD,
  and LASSO penalties.
authors:
- family-names: Heiling
  given-names: Hillary
  email: hmheiling@gmail.com
- family-names: Rashid
  given-names: Naim
  email: nur2@email.unc.edu
- family-names: Li
  given-names: Quefeng
  email: quefeng@email.unc.edu
- family-names: Ibrahim
  given-names: Joseph
  email: ibrahim@bios.unc.edu
repository: https://cran.r-universe.dev
commit: da99970603170cd52adc08c02f5d218671fd3469
date-released: '2024-08-29'
contact:
- family-names: Heiling
  given-names: Hillary
  email: hmheiling@gmail.com